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Implements various win ratio methodologies for composite endpoints of death and non-fatal events, including the (stratified) proportional win-fractions (PW) regression models (Mao and Wang, 2020 <doi:10.1111/biom.13382>), (stratified) two-sample tests with possibly recurrent nonfatal event, and sample size calculation for standard win ratio test (Mao et al., 2021 <doi:10.1111/biom.13501>).
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | survival, cubature, gumbel |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-11-26 |
| DOI: | 10.32614/CRAN.package.WR |
| Author: | Lu Mao and Tuo Wang |
| Maintainer: | Lu Mao <lmao at biostat.wisc.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://sites.google.com/view/lmaowisc/ |
| NeedsCompilation: | no |
| CRAN checks: | WR results |
| Package source: | WR_1.0.tar.gz |
| Windows binaries: | r-devel: WR_1.0.zip, r-release: WR_1.0.zip, r-oldrel: WR_1.0.zip |
| macOS binaries: | r-release (arm64): WR_1.0.tgz, r-oldrel (arm64): WR_1.0.tgz, r-release (x86_64): WR_1.0.tgz, r-oldrel (x86_64): WR_1.0.tgz |
| Old sources: | WR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.